Upscaling approach to land cover based on priority and semantic proximity rules

doi:10.6046/gtzyyg.2016.01.08

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Abstract

The upscaling methods for land cover classification data are still based on mode number selection or principle proportion choice; nevertheless, blocked at multiple modes, map information will be largely distorted under randomly choice. In order to maintain spatial information before and after generalization, this paper introduces land cover priority guidelines and semantic proximity norms to the upscaling method. A new upscaling method can be obtained by adding both rules to the aggregation processing. Firstly, through setting land cover priority guidelines and semantic proximity norms, the output category at the corresponding spatial location can be calculated on the coarse scale. The results show that, based on the majority aggregation method, and by adding the priority of the neighboring and semantic rules, the consistency of the spatial distribution of the feature can be better maintained after generalization, and the similarity of original maps is relatively high.

Keywords Liaodong Bay object-oriented coastline land use

TP79

Issue Date: 27 November 2015

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	YANG Changkun
	LIU Zhaoqin
	WANG Chongchang
	LIU Bin
	PENG Man

Cite this article:

YANG Changkun,LIU Zhaoqin,WANG Chongchang, et al. Upscaling approach to land cover based on priority and semantic proximity rules[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 50-56.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.01.08 OR https://www.gtzyyg.com/EN/Y2016/V28/I1/50

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